Comments (1)
There's one way to do it quickly. If you are trying to use OpenELM, you will use LLM-Adapters and lm-evaluation-harness. I just searched and replaced ' "cpu" ' with' "mps" ' throughout the files. Also, I added the mps selection code in corenet file. (https://github.com/apple/corenet/pull/22/files). Worked well on M1 Pro.
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Related Issues (12)
- CatLIP checkpoints on the hub 🤗 HOT 5
- 'freeze_modules_based_on_opts()' is freezing module parameters twice HOT 4
- torchtext version issue HOT 6
- Why use interpreted language ? HOT 3
- where is the `corenet-train` entrypoint ? HOT 1
- /bin/bash: corenet-train:未找到命令 HOT 1
- Instruct Template HOT 2
- A HF/Docker/Modal reproducible training/inference example
- Do OpenELM's training datasets contain copyrighted material?
- Request for Access to OpenELM Training Logs HOT 2
- where can I get checkpoints HOT 1
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